Data Science / Machine Learning Engineer Intern, Demandbase

• Currently pursuing a graduate degree (PhD or Masters) in Computer Science, Statistics, Machine Learning, Mathematics, Econometrics, or a related field
• Experience with Python and ML libraries (e.g., Scikit-Learn, Pandas, NumPy)
• Basic familiarity with ML frameworks like PyTorch and TensorFlow is a plus
• Strong analytical skills, with knowledge of SQL or NoSQL databases
• Understanding of cloud platforms (Google Cloud, AWS) is a plus

Desirable

• Join Demandbase’s Machine Learning/Data Science team as an Intern Data Scientist or Intern Machine Learning Engineer, where you will gain hands-on experience in applying machine learning (ML) and data science to real-world B2B buyer journeys
• You’ll work alongside experienced data scientists and machine learning engineers to develop, analyze, and optimize machine learning models that impact millions of users and thousands of customers daily
• This role is ideal for graduate students looking to deepen their knowledge of ML, data science, and cloud-based analytics while working in a dynamic, fast-paced environment
• This role is based in San Francisco, CA, and will last 10-12 weeks during the summer of 2025
• Data Exploration & Preprocessing: Work with large-scale structured and unstructured datasets to clean, analyze, and extract insights
• Feature Engineering: Assist in developing features to enhance model performance for ranking, recommendation systems, or ad optimization
• Machine Learning Model Development: Support the design and training of ML models, leveraging libraries such as Scikit-Learn, TensorFlow, and PyTorch
• Experimentation & Evaluation: Run A/B tests and analyze results to refine models and improve business outcomes
• Collaboration: Work closely with senior data scientists, engineers, and product managers to integrate models into production systems
• Documentation & Research: Stay updated on ML trends and document findings to support continuous learning and knowledge sharing within the team